Nature Inspired Meta-Heuristic Algorithms based Load Balancing in Fog Computing Environment

Abstract

LB is simply the methodical distribution of load among many servers. To expedite the handling of customer requests, the fog server manages the substantial data on the cloud server. Data requirements are increasing, and Fog computing (FC) has made data more readily available. Despite the fact that FC overcomes many issues based on user requirements, other challenges still necessitate further effort. The challenge that FC confronts is Load Balancing(LB), which causes an increase in network layer traffic. The cloud layer has previously offered several LB solutions, but development on the fog layer is currently underway. Inadequate LB can lower service quality by delaying response time, processing time, security, and other concerns. This paper describes nature-based meta-heuristic algorithms that are based on LB and are used to the problem of overloaded data on the network. This review has explored some of the unresolved issues of the researchers problems and also a brief review on the advantages and disadvantages of the existing literature’s. Some of the challenges has also been discussed. Also, when it comes to LB, writers have concentrated on bandwidth, response time, latency, cost, security, and execution time.